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We been engaged to find an AWS Data Engineer you will be part of a fast-paced team designing, developing, testing, integrating and supporting technically innovative solutions for our Fortune 500 customers.
AWS and Snowflake Data Engineer overview:
- Design and build reusable components, frameworks and libraries at scale to support analytics products.
- Design and implement product features in collaboration with business and Technology stakeholders.
- Identify and solve issues concerning data management to improve data quality.
- Clean, prepare and optimize data for ingestion and consumption.
- Collaborate on the implementation of new data management projects and re-structure of the current data architecture.
- Implement automated workflows and routines using workflow scheduling tools.
- Build continuous integration, test-driven development and production deployment frameworks.
- Analyze and profile data for designing scalable solutions.
- Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.
AWS and Snowflake Data Engineer requirements:
- Hands on experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud
- Familiarity with Spark Structured Streaming
- Minimum experience working experience with Hadoop
- Hands-on experience with SQL, ETL, data transformation and analytics functions
- Hands-on Python experience including Batch scripting, data manipulation, distributable packages.
- Experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow.
- Working with code versioning tools such as GitHub or BitBucket; expert level understanding of repo design and best practices
- Familiarity with deployment automation tools such as Jenkins
- Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand on experience with API development.
- Designing and developing relational database objects; knowledgeable on logical and physical data modeling concepts; some experience with Snowflake
- Familiarity with Tableau or Cognos
- Familiarity with Agile; working experience preferred
AWS and Snowflake Data Engineer certifications:
- AWS
- ETL
- Python
Industry: Data Engineer, AWS, Beaverton
Job Code: j-2047
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